Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This chapter discusses the nature of weed biocontrol, attempts at biological control of weeds in European extensive and intensive agriculture, the biological control of non-native weeds in Europe, the possible combination of biological control with other weed control strategies (this has often been facilitated by interaction between different European Weed Research Society (EWRS) working groups). It considers legislation, particularly that from the EU, which affects and regulates biological control releases in Europe. The three fundamental approaches to biological pest management are named classical, inundative and conservation. Classical weed biocontrol is increasingly being combined with other control techniques to provide successful weed control. Some recent examples include biocontrol and herbicide application for the control of Lythrum salicaria L. (purple loosestrife), biocontrol, herbicide and replantings in Persicaria perfoliata (L.) H. Gross (mile-a-minute weed) control in the USA and herbicides and other management techniques in Euphorbia esula L. (leafy spurge) control in Canada.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it